calc_rng_VPC: Calculation of range VPC.
In jgrevel/BAST1-R-Library: BAST R function library.

Description Usage Arguments Value Note Author(s)

Runs calculations for a more simple version of a VPC where typically, within each bin, the 5th, 50th and 95th percentiles of the experimental data are calculated along with the central 90% range of the simulated data (90% prediction interval). Calculations are run as non-prediction-corrected and prediction-corrected.

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calc_rng_VPC(exp_data, sim_data, bins, dv_col = "DV", ind_var_col = "TAD",
  exp_quantiles = c(0.05, 0.5, 0.95), prediction_interval = 90,
  min_bin_width = 0.5)

`exp_data`	data frame containing experimental data.
`sim_data`	data frame containing all simulated data.
`bins`	vector of limits of the time bins.
`dv_col`	name of column containing DV, for both exp_data and sim_data.
`ind_var_col`	name of column containing independent variable (e.g. TAD or TIME), for both exp_data and sim_data.
`exp_quantiles`	vector of required quantiles of experimental DV in each bin.
`prediction_interval`	numeric. Percentage size of prediction interval calculated around all data in each bin of simulated data.
`min_bin_width`	numeric. Width of the smallest possible unrestricted bin (bins will be restricted in width by neighbouring bins). It can be adjusted to improve the look of the VPC plot.